BMC Medical Informatics and Decision Making

Papers
(The TQCC of BMC Medical Informatics and Decision Making is 7. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-04-01 to 2025-04-01.)
ArticleCitations
Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning507
Digital encounter decision aids linked to clinical practice guidelines: results from user testing SHARE-IT decision aids in primary care239
InsightSleepNet: the interpretable and uncertainty-aware deep learning network for sleep staging using continuous Photoplethysmography215
Validating the representation of distance between infarct diseases using word embedding176
Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms144
Insights into prescribing patterns for antidepressants: an evidence-based analysis129
Validation of a computerized decision support system to review pharmacotherapy treatment: scheduling guidelines124
Machine learning model for predicting acute kidney injury progression in critically ill patients120
Development and evaluation of a whole-chain management system for critical value reporting96
User acceptability and perceived impact of a mobile interactive education and support group intervention to improve postnatal health care in northern India: a qualitative study95
Joint modeling strategy for using electronic medical records data to build machine learning models: an example of intracerebral hemorrhage92
Temporal topic model for clinical pathway mining from electronic medical records91
Machine learning–based prediction model for hypofibrinogenemia after tigecycline therapy75
Investigating the role of health information technology in the control and management of Systemic Lupus Erythematosus (SLE): a systematic review73
Circulating CCN6/WISP3 in type 2 diabetes mellitus patients and its correlation with insulin resistance and inflammation: statistical and machine learning analyses64
Practical applications of methods to incorporate patient preferences into medical decision models: a scoping review63
An interpretable machine learning model with demographic variables and dietary patterns for ASCVD identification: from U.S. NHANES 1999–201863
Advancing AI-driven thematic analysis in qualitative research: a comparative study of nine generative models on Cutaneous Leishmaniasis data58
An intelligent multi-attribute decision-making system for clinical assessment of spinal cord disorder using fuzzy hypersoft rough approximations58
Deep learning-based classification of dementia using image representation of subcortical signals57
Predicting multiple sclerosis severity with multimodal deep neural networks55
A treatment recommender clinical decision support system for personalized medicine: method development and proof-of-concept for drug resistant tuberculosis54
Machine learning-empowered sleep staging classification using multi-modality signals53
Mortality and morbidity patterns in Yaoundé, Cameroon: an ICD-11 classification-based analysis53
Which risk factor best predicts coronary artery disease using artificial neural network method?53
Knowledge-point classification using simple LSTM-based and siamese-based networks for virtual patient simulation52
Exploration of the optimal deep learning model for english-Japanese machine translation of medical device adverse event terminology51
Patients’ and plastic surgeons’ experiences with an online patient decision aid for breast reconstruction: considerations for nationwide implementation49
Examining inclusivity: the use of AI and diverse populations in health and social care: a systematic review48
Predicting the risk of diabetes complications using machine learning and social administrative data in a country with ethnic inequities in health: Aotearoa New Zealand46
Use of mobile phones for rehabilitative services among prosthetics users in rural Acholi sub-region of northern Uganda: findings from a qualitative study46
A political economy analysis of strengthening health information system in Tanzania44
Machine learning-based risk models for procedural complications of radiofrequency ablation for atrial fibrillation43
Undercounting diagnoses in Australian general practice: a data quality study with implications for population health reporting43
Spatiotemporal evolution of epileptic seizure based on mutual information and dynamic brain network42
Continual learning framework for a multicenter study with an application to electrocardiogram41
A mobile app (IDoThis) for multiple sclerosis self-management: development and initial evaluation41
Prediction of lymphedema occurrence in patients with breast cancer using the optimized combination of ensemble learning algorithm and feature selection40
Contribution of information about acute and geriatric characteristics to decisions about life-sustaining treatment for old patients in intensive care39
Multiple regression model to analyze the total LOS for patients undergoing laparoscopic appendectomy39
Detection of K-complexes in EEG waveform images using faster R-CNN and deep transfer learning39
Particle filter-based parameter estimation algorithm for prognostic risk assessment of progression in non-small cell lung cancer38
Machine learning-based prediction of fainting during blood donations using donor properties and weather data as features38
The 4P telehealth business framework for Iran38
Development and validation of a machine learning model to predict hemostatic intervention in patients with acute upper gastrointestinal bleeding38
Rehab-AMD: co-design of an application for visual rehabilitation and monitoring of Age-related Macular Degeneration38
Is primary health care ready for artificial intelligence? What do primary health care stakeholders say?38
Identifying self-reported health-related problems in home-based rehabilitation of older patients after hip replacement in China: a machine learning study based on Omaha system theory36
Patients’ views of shared decision making in inflammatory bowel disease: a survey in China36
Evaluating semantic similarity methods for comparison of text-derived phenotype profiles35
A retrospective analysis using comorbidity detecting algorithmic software to determine the incidence of International Classification of Diseases (ICD) code omissions and appropriateness of Diagnosis-R34
Committee experiences of using formal consensus in healthcare guidelines: a longitudinal qualitative study34
Development, implementation, and evaluation of neonatal thermoregulation decision support web application34
Probabilistic linguistic fuzzy cognitive maps: applications to the critical factors affecting the health of rural older adults34
Artificial intelligence for non-mass breast lesions detection and classification on ultrasound images: a comparative study33
A command centre implementation before and during the COVID-19 pandemic in a community hospital33
Improving computerized decision support system interventions: a qualitative study combining the theoretical domains framework with the GUIDES Checklist33
Development and application of Chinese medical ontology for diabetes mellitus33
Special supplement issue on quality assurance and enrichment of biological and biomedical ontologies and terminologies32
Patient profiled data for treatment decision-making: valuable as an add-on to hepatitis C clinical guidelines?32
Machine learning with asymmetric abstention for biomedical decision-making32
Implementation of an Electronic Medication Management System in a large tertiary hospital: a case of qualitative inquiry31
Collaborative learning from distributed data with differentially private synthetic data30
Application of openEHR archetypes to automate data quality rules for electronic health records: a case study30
Providing evidence-based knowledge on nursing interventions at the point of care: findings from a mapping project30
Resource management framework using simulation modeling and multi-objective optimization: a case study of a front-end department of a public hospital in Thailand30
lab2clean: a novel algorithm for automated cleaning of retrospective clinical laboratory results data for secondary uses29
Decision tree model for predicting ovarian tumor malignancy based on clinical markers and preoperative circulating blood cells29
Prediction of adverse pregnancy outcomes using machine learning techniques: evidence from analysis of electronic medical records data in Rwanda28
How good is your synthetic data? SynthRO, a dashboard to evaluate and benchmark synthetic tabular data28
Correction: Causal analysis for multivariate integrated clinical and environmental exposures data28
A novel method for assessing cycling movement status: an exploratory study integrating deep learning and signal processing technologies27
Machine learning based biomarker discovery for chronic kidney disease–mineral and bone disorder (CKD-MBD)26
Analytical validation of Exandra: a clinical decision support system for promoting guideline-directed therapy of type-2 diabetes in primary care – a collaborative study with experts from Diabetes Cana26
Construction of a demand and capacity model for intensive care and hospital ward beds, and mortality from COVID-1926
Does combining numerous data types in multi-omics data improve or hinder performance in survival prediction? Insights from a large-scale benchmark study25
Development of a communication platform for patients with head and neck cancer for effective information delivery and improvement of doctor–patient relationship: application of treatment journey-based25
Understanding how and under what circumstances decision coaching works for people making healthcare decisions: a realist review25
Hellenic registry of patients with home mechanical ventilation (HR-HMV): profiling sleep Apnea–Hypopnea syndrome patients across Greece25
Development of a mobile application to represent food intake in inpatients: dietary data systematization24
From algorithms to action: improving patient care requires causality24
Enhancing heart failure treatment decisions: interpretable machine learning models for advanced therapy eligibility prediction using EHR data24
Automatic deep learning-based pleural effusion segmentation in lung ultrasound images23
Application of the QFD-fuzzy-SERVQUAL methodology as a quality planning tool at the surgical centre of a public teaching hospital23
An exploration into physician and surgeon data sensemaking: a qualitative systematic review using thematic synthesis22
Modeling count data for health care utilization: an empirical study of outpatient visits among Vietnamese older people22
Privacy-preserving data sharing infrastructures for medical research: systematization and comparison22
Can minimal clinically important differences in patient reported outcome measures be predicted by machine learning in patients with total knee or hip arthroplasty? A systematic review22
Usefulness of smartphone use among surgeons in clinical practice during the pandemic of COVID-19: a cross-sectional study22
Machine learning to predict no reflow and in-hospital mortality in patients with ST-segment elevation myocardial infarction that underwent primary percutaneous coronary intervention22
Mining of EHR for interface terminology concepts for annotating EHRs of COVID patients21
A psycho-educational intervention programme for parents with SGA foetuses supported by an adaptive mHealth system: design, proof of concept and usability assessment21
Cancer screening simulation models: a state of the art review21
Machine learning-driven clinical decision support system for concept-based searching: a field trial in a Norwegian hospital21
An ensemble learning with active sampling to predict the prognosis of postoperative non-small cell lung cancer patients21
Distinguished representation of identical mentions in bio-entity coreference resolution21
Value of normative belief in intention to use workplace health promotion apps21
Data management system for diabetes clinical trials: a pre-post evaluation study20
How can social robot use cases in healthcare be pushed - with an interoperable programming interface20
Building a knowledge base for colorectal cancer patient care using formal concept analysis20
Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records20
A clinical decision support system is associated with reduced loss to follow-up among patients receiving HIV treatment in Kenya: a cluster randomized trial20
Clinician perceptions of a clinical decision support system to reduce cardiovascular risk among prediabetes patients in a predominantly rural healthcare system20
A novel signature model based on mitochondrial-related genes for predicting survival of colon adenocarcinoma19
Adapting user-centered design principles to improve communication of peer parent narratives on pediatric tracheostomy19
Memory rehabilitation during the COVID-19 pandemic19
Interpreting deep learning models for glioma survival classification using visualization and textual explanations19
Testing delivery of components of cognitive behavioral therapy for insomnia to breast cancer survivors by smart speaker: a study protocol19
Automatic recognition of micronucleus by combining attention mechanism and AlexNet19
Escape to the future – a qualitative study of physicians’ views on the work environment, education, and support in a digital context19
Using an adaptive network-based fuzzy inference system for prediction of successful aging: a comparison with common machine learning algorithms19
Quality indices for topic model selection and evaluation: a literature review and case study19
Impact of mobile application and outpatient follow-up on renal endpoints and physiological indices in patients with chronic kidney disease: a retrospective cohort study in Southwest China18
Interpretable machine learning predicts cardiac resynchronization therapy responses from personalized biochemical and biomechanical features18
Developing an integrated clinical decision support system for the early identification and management of kidney disease—building cross-sectoral partnerships18
Evaluating MedDRA-to-ICD terminology mappings18
Electrocardiogram lead conversion from single-lead blindly-segmented signals18
Skin lesion segmentation using deep learning algorithm with ant colony optimization18
Application of machine learning models on predicting the length of hospital stay in fragility fracture patients18
Named entity recognition of Chinese electronic medical records based on a hybrid neural network and medical MC-BERT18
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures18
Early prediction of mortality upon intensive care unit admission17
Priority and age specific vaccination algorithm for the pandemic diseases: a comprehensive parametric prediction model17
How to establish and sustain a disease registry: insights from a qualitative study of six disease registries in the UK17
Deep learning of movement behavior profiles and their association with markers of cardiometabolic health17
An electronic medical records study of population obesity prevalence in El Paso, Texas17
Real-time non-invasive hemoglobin prediction using deep learning-enabled smartphone imaging17
Using the sociotechnical model to conduct a focused usability assessment of a breast reconstruction decision tool17
In silico clinical trials for relapsing-remitting multiple sclerosis with MS TreatSim17
Using a smartphone-based self-management platform to study sex differences in Parkinson’s disease: multicenter, cross-sectional pilot study17
Shared decision making for anticoagulation reduces anxiety and improves adherence in patients with atrial fibrillation17
A prediction model based on artificial intelligence techniques for disintegration time and hardness of fast disintegrating tablets in pre-formulation tests16
Development an extended-information success system model (ISSM) based on nurses’ point of view for hospital EHRs: a combined framework and questionnaire16
Automated redaction of names in adverse event reports using transformer-based neural networks16
Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validation16
A particle swarm optimization improved BP neural network intelligent model for electrocardiogram classification16
Face and content validity of the EMPOWER-UP questionnaire: a generic measure of empowerment in relational decision-making and problem-solving16
Homeostasis imbalance process ontology: a study on COVID-19 infectious processes16
Integrating shared decision-making into primary care: lessons learned from a multi-centre feasibility randomized controlled trial16
The association between Internet use and health-related outcomes in older adults and the elderly: a cross-sectional study16
Development of clinical-guideline-based mobile application and its effect on head CT scan utilization in neurology and neurosurgery departments15
Electronic prescribing systems as tools to improve patient care: a learning health systems approach to increase guideline concordant prescribing for venous thromboembolism prevention15
On the role of deep learning model complexity in adversarial robustness for medical images15
Development of a web-based patient decision aid for myopia laser correction method15
User knowledge factors that hinder the design of new home healthcare devices: investigating thirty-eight devices and their manufacturers15
Improving medical term embeddings using UMLS Metathesaurus15
Correction to: Evaluation of Doc’EDS: a French semantic search tool to query health documents from a clinical data warehouse15
Comparison of usability evaluation methods for a health information system: heuristic evaluation versus cognitive walkthrough method15
Motive perception pathways to the release of personal information to healthcare organizations15
Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks15
Predicting decompression surgery by applying multimodal deep learning to patients’ structured and unstructured health data15
The effects of continuous care model using a smartphone application on adherence to treatment and self-efficacy among patients with multiple sclerosis15
A pattern-discovery-based outcome predictive tool integrated with clinical data repository: design and a case study on contrast related acute kidney injury15
Evaluation of an ARF diagnosis calculator: a survey and content analysis15
Creation of clinical algorithms for decision-making in oncology: an example with dose prescription in radiation oncology15
Electronic clinical decision support for children with minor head trauma and intracranial injuries: a sociotechnical analysis15
Qualitative analysis of shared decision-making for chemoprevention in the primary care setting: provider-related barriers15
Construction and SHAP interpretability analysis of a risk prediction model for feeding intolerance in preterm newborns based on machine learning14
Diagnostic performance of classification trees and hematological functions in hematologic disorders: an application of multidimensional scaling and cluster analysis14
RegEMR: a natural language processing system to automatically identify premature ovarian decline from Chinese electronic medical records14
The test characteristics of a biased or ignorant diagnostician14
Evaluation of HIV/AIDS-related mobile health applications content using an evidence-based content rating tool14
Identification of hot regions in hub protein–protein interactions by clustering and PPRA optimization14
Whole-cycle management of women with epilepsy of child-bearing age: ontology construction and application14
Classification of coronary artery disease using radial artery pulse wave analysis via machine learning14
Quantitative prediction of postpartum hemorrhage in cesarean section on machine learning14
MSAL-Net: improve accurate segmentation of nuclei in histopathology images by multiscale attention learning network14
Characterization and selection of Japanese electronic health record databases used as data sources for non-interventional observational studies14
The development and phase 1 evaluation of a Decision Aid for elective egg freezing14
The consequences of data dispersion in genomics: a comparative analysis of data sources for precision medicine14
Comparison of the effects of burn assessment mission game with feedback lecture on nursing students’ knowledge and skills in the burn patients’ assessment: a randomized clinical trial14
Operationalizing and digitizing person-centered daily functioning: a case for functionomics14
Implementing Exercise = Medicine in routine clinical care; needs for an online tool and key decisions for implementation of Exercise = Medicine within two Dutch academic hospitals14
Towards more efficient and robust evaluation of sepsis treatment with deep reinforcement learning14
Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning14
Study on risk factors of diabetic peripheral neuropathy and establishment of a prediction model by machine learning13
Learning from low-rank multimodal representations for predicting disease-drug associations13
Hybrid-FHR: a multi-modal AI approach for automated fetal acidosis diagnosis13
Predictive ability of visit-to-visit glucose variability on diabetes complications13
Design, implementation, and evaluation of the computer-aided clinical decision support system based on learning-to-rank: collaboration between physicians and machine learning in the differential diagn13
DEL-Thyroid: deep ensemble learning framework for detection of thyroid cancer progression through genomic mutation13
Permissioned blockchain network for proactive access control to electronic health records13
Pilot deployment of a machine-learning enhanced prediction of need for hemorrhage resuscitation after trauma – the ShockMatrix pilot study13
Compliance with medical recommendations depending on the use of artificial intelligence as a diagnostic method13
BertSRC: transformer-based semantic relation classification13
Prediction of Sjögren’s disease diagnosis using matched electronic dental-health record data13
Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering13
Predicting Gestational Diabetes Mellitus in the first trimester using machine learning algorithms: a cross-sectional study at a hospital fertility health center in Iran13
A parametric model to jointly characterize rate, duration, and severity of exacerbations in episodic diseases13
A hybrid CNN-Bi-LSTM model with feature fusion for accurate epilepsy seizure detection13
Exploring drivers of patient satisfaction using a random forest algorithm12
Construction and evaluation of a column chart model and a random forest model for predicting the prognosis of hydrodistention surgery in BPS/IC patients based on preoperative CD117, P2X3R, NGF, and Tr12
Towards improving district health information system data consistency, report completeness and timeliness in Neno district, Malawi12
Measuring the worldwide spread of COVID-19 using a comprehensive modeling method12
A hybrid sampling algorithm combining synthetic minority over-sampling technique and edited nearest neighbor for missed abortion diagnosis12
Explainable predictions of a machine learning model to forecast the postoperative length of stay for severe patients: machine learning model development and evaluation12
Acceptance of clinical decision support system to prevent venous thromboembolism among nurses: an extension of the UTAUT model12
Exploring perceptions of healthcare technologies enabled by artificial intelligence: an online, scenario-based survey12
Evaluation and comparison of errors on nursing notes created by online and offline speech recognition technology and handwritten: an interventional study12
Decision curve analysis confirms higher clinical utility of multi-domain versus single-domain prediction models in patients with open abdomen treatment for peritonitis12
Digital health literacy and digital engagement for people with severe mental ill health across the course of the COVID-19 pandemic in England12
Predictive model for congenital heart disease in children of Pakistan by using structural equation modeling12
Weight management personas of breast cancer patients undergoing chemotherapy in China: a multi-method study12
Screening for severe coronary stenosis in patients with apparently normal electrocardiograms based on deep learning12
Pharmaceutical mobile application for visually-impaired people in Thailand: development and implementation12
Comparing the effects of self- care education by lecture and smartphone application on self-efficacy of patients with thalassemia12
Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers12
Which criteria are important in usability evaluation of mHealth applications: an umbrella review12
Usability evaluation of mHealth apps for elderly individuals: a scoping review12
OnTARi: an ontology for factors influencing therapy adherence to rehabilitation12
A Decision Tree-Driven IoT systems for improved pre-natal diagnostic accuracy12
Correction to: Users’ experiences with an interactive Evidence to Decision (iEtD) framework: a qualitative analysis12
Using artificial intelligence to identify patients with migraine and associated symptoms and conditions within electronic health records12
Modeling the diagnosis of coronary artery disease by discriminant analysis and logistic regression: a cross-sectional study12
Machine learning pipeline to analyze clinical and proteomics data: experiences on a prostate cancer case12
Transition to a new nursing information system embedded with clinical decision support: a mixed-method study using the HOT-fit framework12
Evaluating the success of Iran Electronic Health Record System (SEPAS) based on the DeLone and McLean model: a cross-sectional descriptive study12
Artificial intelligence-based risk assessment tools for sexual, reproductive and mental health: a systematic review11
Safer prescription of drugs: impact of the PREFASEG system to aid clinical decision-making in primary care in Catalonia11
Evaluating the success of the tele-pathology system in governmental hospitals in Kuwait: an explanatory sequential mixed methods design11
Changes in sensory, postural stability and gait functions depending on cognitive decline, and possible markers for detection of cognitive status11
Harness machine learning for multiple prognoses prediction in sepsis patients: evidence from the MIMIC-IV database11
Pragmatic MDR: a metadata repository with bottom-up standardization of medical metadata through reuse11
Qualitative metrics from the biomedical literature for evaluating large language models in clinical decision-making: a narrative review11
Smartwatches in healthcare medicine: assistance and monitoring; a scoping review11
Mobile health application for Thai women: investigation and model11
Validation of the German eHealth impact questionnaire for online health information users affected by multiple sclerosis11
Autonomous modeling of repetitive movement for rehabilitation exercise monitoring11
Machine learning algorithms to predict intraoperative hemorrhage in surgical patients: a modeling study of real-world data in Shanghai, China11
Electronic prescription system requirements: a scoping review11
Machine learning applications for early detection of esophageal cancer: a systematic review11
A potential predictive model based on machine learning and CPD parameters in elderly patients with aplastic anemia and myelodysplastic neoplasms11
Interoperability of heterogeneous health information systems: a systematic literature review11
Building a trustworthy AI differential diagnosis application for Crohn’s disease and intestinal tuberculosis11
Cardiac arrhythmia detection using deep learning approach and time frequency representation of ECG signals11
A generalizable and interpretable model for mortality risk stratification of sepsis patients in intensive care unit11
“It’s all about time and timing”: nursing staffs’ experiences with an agile development process, from its initial requirements to the deployment of its outcome of ICT solutions to support discharge pl11
Detecting cognitive impairment in cerebrovascular disease using gait, dual tasks, and machine learning11
Participant characteristics and reasons for non-consent to health information linkage for research: experiences from the ATHENA COVID-19 study11
Machine learning approach for the detection of vitamin D level: a comparative study11
SPIKE: secure and private investigation of the kidney exchange problem11
Classification of medicines and materials in hospital inventory management: a multi-criteria analysis11
Opportunities and challenges of supervised machine learning for the classification of motor evoked potentials according to muscles11
Natural language processing data services for healthcare providers11
Ethics and governance of trustworthy medical artificial intelligence11
Negation recognition in clinical natural language processing using a combination of the NegEx algorithm and a convolutional neural network11
Interpreting and coding causal relationships for quality and safety using ICD-1111
Development and multicentric external validation of a prognostic COVID-19 severity model based on thoracic CT11
Machine learning for the prediction of sepsis-related death: a systematic review and meta-analysis11
Comprehensive improvements in the emergency laboratory test process based on information technology11
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